Life, Love, Sex, Negative Beliefs, startup regrets, nanog90, Groq LPU, LLM from scratch, ssh3, eBFP BGP, RPKI, TIANHE-3

I hit rock bottom this week. I hope I finally closed one door in my life so I give myself the chance to open others. Made the wrong decision? It is easy when you look back. Do I regret it? The most annoying thing is these are failures so you can’t go back and recover. But I was so bloody newbie!!!…. At least after 5 years…

“For every reason it’s not possible, there are hundreds of people who have faced the same circumstances and succeeded.” Jack Canfield

Head down, crying, cursing, whatever, but forwards. As it has always been.

—-

Somehow managed to list to long videos, something I normally can’t manage (because lack of time, etc)

Negative Beliefs, avoid bitterness, aim for greatness (remarkable things), scape the darkness: Jordan B Peterson with Modern Wisdom: video, podcast.

Find and keep Love: video. 1st Get your shit together. Communication is critical. Be careful with your shopping list….

Good Sex: video. Communicate….

Orgasm: video. Haven’t seen it completely yet but very interesting. Use your tongue wisely.

— Other things:

Startup decisions and regrets: page. Interesting. I think most of things are very specific but still good to read.

Nanog90: agenda I didnt want the videos but I reviewed several pdfs and these ones look interesting:

Abstract Ponderings: A ten-year retrospective. Rob Shakir – Google: video

https://rob.sh/post/reimagining-network-devices/
https://rob.sh/post/coaching/
https://cdn.rob.sh/files/the-next-spring-forward_2018.pdf
https://research.google/research-areas/networking/

AI Data Center networks – Juniper – video

Using gNOI capabilities to simplify software upgrade use case: video – I had to idea about gNOI so looks interesting. It is crazy that still in XXI, automating a network device is so painful. Thanks to all vendors to make your life miserable.

Go lang for network engineers: video – I always thought that Golang had a massive potential for network automation but there was always lack of support and python is the king. So nice to see that Arista has things to offer.

PTP in Meta: video and blog.

There are more things, but havent had the chance to review them.

—-

It looks there is new chatbot that is not using the standard NVIDIA GPU. Groq uses LPU (Language Processing Unit). And they say it is better than a GPU. They have this paper but I can’t really see feature of that LPU.

Slurp’it: Show this blog, and the product looks interesting but although is free, it is not opensource and at the end of they you dont want a new vendor-lockin

Container lab in kubernetes: Clabernetes. I would like to play with this one day.

NetDev0x17: videos and sessions. link This is quite low details and most of the time beyond my knowledge. Again, something to take a look at some point.

LLM from scratch: repo. Looks very interesting. But the book it is going to take a long time to hit the market.

ssh3: repo. Interesting experiment.

eBFP and BGP: blog. Really interesting. Another thing that always wanted to play with.

Orange RPKI: old news but still interesting to see how much damaged can cause RPKI in the wrong hands…

China TIANHE-3 Supercomputer: Very interesting. Link.

The Psychology of Money

Really good book. Easy to digest and even easier to take home. And need to watch this video too. And funny enough, I was watching a bit this video too (that is quite related – interesting the investing fund points, I need to review)

0- Intro

I think he is the summary of the whole book. He was a gast station attendant, janitor and investor who was over 8m$ worth when he died.

Financial success is not a hard science. it is a soft skill, where how you behave is more important than what you know.

Finance is overwhelmingly taught as a math-based field. But knowing what to do tells you nothing about what happens in your head when you try to do it.

We think Finance follows laws like Physics but it is actually guide by people’s behaviour. And that follows to next point, how I behave may be sane for me but crazy to you.

1- No One’s Crazy

It is easy to say a investment decision was good/bad looking back. We make money decisions based on the information we have in the moment and plugged into the unique mental model of how the world works at that moment. So yes, it can look crazy. And investing for the masses, it is actually something very new… so we are newbies, we like it or not.

Some lessons have to be experienced before they can be understood. So that can explain why looks like crazy if you haven’t gone through it.

2 – Luck and Risk

Bill Gates won the lottery attending one of the few schools in the world with a computer.. his friend Kent Evans died in a mountaineering accident. Both sides of the same coin.

Robert Shiller (Economy Nobel Prize): What do you want to know about investing that we can’t know? The exact role of luck in successful outcomes.

So we always read about the successful people/companies (extreme cases). What proportion of these outcomes were caused by actions that are repeatable vs the role of random risk and luck? So the questions is how to identify luck and skill.

So focus less on specific individuals and case studies and more on broad patterns.

To deal with failure, arrange your financial life in a way that those situations will not wipe you out you can keep playing until the odds fall in your side (room for error…) And be able to forgive yourself when judging failures.

Nothing is as good as bad as it seems

3- Never Enough

Enough: “Yes, but I have something he will never have… enough.”

I think that is another key about “wealth”.

The hardest financial skill is getting the goalpost to stop moving.

Social comparison is the problem here.

Enough is not too little: is realizing that the opposite, an insatiable appetite for more, will make you no good.

There are many things never worth risking

4-Confounding Compounding

There are over 2000 books written about Warren Buffer. But his success came from investing for over 75 years… His secret is time. That’s how compounding works.

Compounding is not intuitive so it is easy to ignore.

So good investment is about earning pretty good returns for the longest period of time.

5- Getting Wealthy vs Staying Wealthy

Million ways to get wealthy. But just one to stay wealthy: some combination of frugality and paranoia (a.k.a survival). So getting money and keeping money are two totally different skills.

I like the note about Jesse Livermore (I read that book some time ago). He made the biggest fortune ever during the crash of 1929.

And another quote from Nassim Taleb: Having an edge and surviving are two different things: the first requires the second. You need to avoid ruin. At all costs.

Be financially unbreakable: you will get the biggest returns, because you will be able to stick around long enough for compounding to run its magic.

The most important part of every plan is to plan on the plan not going according to plan (a.k.a backup plan or room for error). A plan is only useful if it can survive reality. And a future filled with unknowns is everybody’s reality. So it is anything that lets you live happily with a range of outcomes.

Conservative is avoiding a certain level of risk. Room of error or margin of safety is raising the odds of success at a given level of risk by increasing your chances of survival. This is something I think I understand but I need some clear examples in my head.

Optimistic about the future but paranoid about what will prevent you from getting to the future is vital: Being pessimistic is too easy.

6- Tails, You Win.

Another interesting notes about Heinz Berggruen. The great investors bought vast quantities of art. A subset of the collections turned out to be great investments, and they were held for a sufficiently long period of time to allow the portfolio return to converge on the return of the best elements. That’s all that happens.

Anything that is huge, profitable, famous or influential, is the result of a tail event (Walt Disney, Brad Pitt winning an award, Venture Capitals, AWS, iPhone, MicroSoft, etc). Tails drive everything.

Same in different ways: Few things account for most results (I think this is the easiest one to understand)

Military genius based on Napoleon: The man who can do the average thing when all those around him are going crazy. So that applied to investing is, most of the time today is not that important. What matters are those number of days where everybody is going crazy… so what do you do???

George Soros: It is not whether you are right or wrong that’s important, but how much money you make when you are right and how much you lose when you are wrong. You can be wrong halt of the time and still make a fortune.

7- Freedom

Controlling your time is the highest dividend money pays: control over doing what you want, when you want, with the people you want to, is the broadest lifestyle variable that makes people happy. Using your money to buy time and options has a lifestyle benefit that few luxury good can compete with. Most stuff we buy, means giving away most control of our time.

Most workforce today are not “labored” so we need to use our head, and it is not that easy to switch off, so we are constantly working with our heads, and then we are losing control over our time.

8- Man in the Car Paradox

No one is impressed with your possessions as much as you are. Humility, kindness and empathy will bring you more respect than a Ferrari.

9- Wealth is What You Don’t See

Spending money to show off, it is the fastest way to have less money. Wealth is an option not yet taken to buy something later. It requires self-control. And because it is hidden, we have few models to learn from. It is much easier to follow the instagram show-off.

10- Save Money

For me this is they key of everything, without savings few things you can do.

Building wealth is more related to your saving rate than income or investment returns.

The value of wealth is relative to what you need: high savings rate -> having lower expenses.

One of the most powerful ways to increase your savings is not to raise your income, it is to raise your humility: what you need is just what sits below you ego. Dont care about what others thing about you (and not just about money!)

You spend less, if you desire less, then you care less about others -> so that goes back to the title of the book… money relies more on psychology than finance.

You dont need any specific reason to save (car, house, holidays, etc): Savings without a spending goal gives you options and flexibility: ability to wait and opportunity to act = time for thinking. And that flexibility and control over your time is an unseen return on wealth. Savings at 0% earn rate can give you more in the sense of taking a lower pay and more satisfying job than you can think.

Intelligence is no longer a sustainable advantage (software eats the world). Competitive advantages tilt toward nuanced and soft skills: flexibility is a main one. Again, it is being able to wait for a good opportunity (career, investment, etc). So having more control over your time and options is one of the most valuable currencies in the world: Just Save it.

11- Reasonable -> Rational

Aiming to be mostly reasonable works better than trying to be coldly rational. Reasonable is more realistic and you have a better chance of sticking with it for the long run, which is what matters at investing. Think of the fever. It is beneficial, but we fight it because it hurts! Minimizing future regret is hard to rationalize on paper but easy to justify in real life.

12- Surprise!

History is the study of change, is not a map of the future.

Scott Sagan: Things that have never happened before happen all the time.

Investing is a hard science. People making imperfect decisions with limited information.

The majority of what’s happening at any given moment in the global economy can be tied back to a handful of past events that were nearly impossible to predict.

History can be a misleading guide to the future of the economy and investment because it doesnt take into account the structural changes of today. For example, when did venture capital start? Before there was only (if lucky) risk aversed bankers.

Historians are not prophets. Things change.

13- Room for Error

The most important part of every plan is planning on your plan not going according to plan. This similar to an earlier point.

14- You’ll Change

Long-term planning is harder than it seems because people’s goals and desires change over time.

15- Nothing’s Free

Everything has a price even if you don’t see it.

16- You & Me

Beware of taking financial advice from people playing a different game than you are.

17- The Seduction of Pessimism

Optimism sounds like a sales pitch. Pessimism sounds like someone trying to help you. This is similar to a earlier point. Pessimism is easy. Optimism is harder, you want to be in that wagon. Because you want to grow.

18- When You’ll Believe Anything

19- Summary

20- Author

21- USA Consumer History

Roasted Cauliflower

Some years ago, I tried an amazing roasted cauliflower in a roof top, and wanted to try one day. I watched this video and then I had to do it.

INGREDIENTS
Whole cauliflower head

Cooking liquid
2 cups cheat white wine
2 cups veggoe stock
3 tbsp olive oil
2 tsp white wine vinegar
2 tbsp brown sugar
5 cloves garlic, slightly crushed
2 bay leaves
1 onion, in quarters
salt and pepper

Flavor Paste

  • 3 tbsp olive oil
  • 1 tsp smoked paprika
  • 1 any dried herb blend
  • 2 tbsp fresh grated parmesan cheese
  • 2 tbsp butter, melted
  • 1 tsp fresh ground black pepper
  • 1 tbsp tomate pure

Garnish

  • 2-3 tsp fresh grated parmesan cheese
  • fresh chopped parsley

DIRECTIONS
– Mix Cooking Liquid ingredients in a large stockpot and bring to a boil
– Once boiling, reduce heat to medium low and place cauliflower head in the pot and baste with a ladle once or twice as it cooks covered for 10-15 min.
– Preheat oven to 180C. Convection setting on if you have that option.
– While cauliflower is steaming in the stockpot, mix Flavor Paste ingredients in a small bowl.
– After cauliflower has cooked in the stockpot for 10-15 min, remove and transfer to a baking sheet with a raised grate.
– Spoon and spread Flavor Paste all over cauliflower head. Spray lightly with olive oil.
– Place cauliflower in preheated oven for about 30 min.
– Remove from oven and grate parmesan cheese all over and spray again lightly with olive oil
– Place in oven for another 15-20 min or until deep golden brown.
– Transfer to serving platter and garnish with fresh chopped parsley and enjoy!

And this is my result:

My coating wasnt great and I had it for lunch next day so it wasn’t the same, but still it was good. And as usual, room for improvement!

Still It is not the same roasted cauliflower I had that time…. need to do proper research.

Bolognese Lasagna

I have done it before but I watched this video and wanted to do it like him, with homemade lasagna sheets.

FOR THE EGG LASAGNA SHEETS
Durum wheat semolina flour 350g (just used fine semolina)
Cake flour 150g (I just used normal wheat white flour)
Spinach (raw) 250g
Eggs 2
Egg yolks 3

FOR THE RAGÙ (MEAT SAUCE)
Minced beef 300g
Pork pancetta 150g (I used a bit of chorizo as didnt have it)
Carrots 50g
Celery 50g
Onions 50g
Red wine 1/2 cup (100g)
Tomato puree 300g
Vegetable broth to taste
Salt, pepper and olive oil

FOR THE BÉCHAMEL SAUCE
Butter 70g
White flour 70g
Whole milk 1 liter (likely I used much less)
Salt, pepper and nutmeg

TO SEASON
Butter to taste
Grated Parmesan cheese: 270g (I didnt have that much and used a mozarella)

Making lasagna sheets with a rolling pin is not the same 🙂

It doesnt look like the video, but it was nice:

Definitely my pasta wasn’t great, too thick?

Need to repeat again!

Infiniband Professional

1) Intro IB

open standard: IBTA
features:
simple mgmt: each fabric has a SM: subnet manager

  • nodes and links discovery
  • local id assigment: LIDS
  • routing table calculations and deployment
  • configure nodes and ports ie: qos
    high bw: non-blocking, bi-dir. 4 physical lanes (max 12) EDR: 25G per lane / HRD: 50G per lane / NDR: 100G per lane
    cpu offload: kernel bypass, RDMA for CPU and GPU.
    low lat: 1micro for RDMA
    scale out/flex: up to 48k nodes in one subnet. Beyond that use IB routers/
    qos:
    resilience: self healing. 1ms.
    LB: adaptive routing, dynamic load balancing
    sharp: mpi super performance: scalable hierarchical aggregation and reduction protocol. offload collective operations from host cpu/gpu.
    variety topologies: fat tree, torus 3d, dragonfly

componets:
gateway: translate IB<>Ethernet
switch, router (between different subnets)
hca: host channel adapter: nic?

2) Intro IB Arch

Arch

L5 Upper: Mgmt protocols: subnet mgmt and subnet svcs. Verbs to interact with Transport Layer
L4 Transport: services to complete specified operation. Reassemble and split packets.
L3 Network: describes the protocol for routing a packet between subnets
L2 Link: describes the packet format and protocols for packet operation. (routing within a subenet)
L1 Physical: framing and signaling

L2: LRH 8B + (L345) + Trailer (ICRC 4B + VCRC 2B)
LRH: Local Route Header: local src and local dst port. Includes SL (Svc Level) and VL (?). VL is the only field that changes while the packet traverses the subnet.
ICRC: Invariant CRC // VCRC: Variant CRC
L3: GRH 40B + L45
GRH: Global Route Header: present in packet that traverses multiple subnets. Routers forward packet based on GRH. Router recalculate VCRF but not ICRC.
L4: BTH 23B + ETH var + L5
BTH: Base Transport Header: operation code (first, last, intermediate or only packet + operattion type: send, rdma wr, read, atomic), seq num (PSN) and partition.
ETH: Extended Transport Header: conditionally present depending on CoS and operation code.
L5: Payload 256-4096B

Wireshark: (L3 only in packet that need to be routed to a different subnet.)
Local Route Header -> L2
Base Transport -> L4
DETH – Datagram Ext Transport Header -> L4
MAD Header – Common mgmt datagram -> L5
SMP (Directed Route) -> L5
ICRC – L2
VCRC – L2

Mgmt

fabric: link, switches and routers than connect channel adaptor
subnet: port and links with comom subnet id and managed by same SM.
-router connects subnets

SM: subnet manager. Centralized routing mgmt. plug and play. One master SM, the rest standy.

  • discovering topology
  • assigning local ids to nodes (LIDs)
  • calculate and program switching forwarding tables
  • managin elements
  • monitoring elements
    Impleted in a server, switch or specialized device.

elements:
Manager: active entity
Node: managed entity: switch, HCA, router
Agent: each node has a SMA (subnet manager agent). Passive, responds to Manager. Can send traps

MADs: standard message format betwen Agent and Manager

Addressing:
L1: GUID: Global Unique Id: unique address burned by vendor in hw: chassis, HCAs, switches, routers and ports.
L2: LID: Local Id: Assigned by SM. Unique within the subnet. Src and Dst LIDs are present in LRH. Dst LID is used by switch to send packet.
L3: GID: Global Id: identify end port or multicast group. Unique across subnets. Src and dst GID are in GRH. Dst GID is used by router.

OFED Monitoring Utilities

OpenFabrics Entreprise Distribution (OFED): sw stack for RDMA and kernel bypass apps.
OFED utilities facilitate control, mgmt and diagnosis of IB fabrics.

verify OFED installation: $ ofed_info | head -1
verify OFED running: $ /etc/init.d/openibd status
verify HCA (nic) installe: $ lscpi | grep -i mellanox
verify IB running: $ ibstat -> list all local HCAs. info from IB driver. GUID, LID, por state, rate
verify connectivity: ibping (verify connectiity between hosts). It is Client-Servre command
destination: # ibping -S (server mode)
source: # ibping -L
verify path: ibtracert: source LID to dst LID.
# ibtracert ===> You dont have to run the command from the source LID itself !!!

3) Physical Layer

Overview

functions: bit sync, bit rate control, phy topologies, transmission mode
specifications: start, end delimeter, data symbos

HCAs = Host Channel Adapter = NICs

connect server to switch. NIC + offload.
1 or 2 ports.
GUID = MAC

Media Types and Interconnection

link width: 1,4,8,16 lanes. Current usage: only 4
link rate: link speed * link width DAC ACO
EDR: Enhanced Data Rate – 25G per lane = 100G 5m 100m
HDR: High DR – 50G per lane = 200G 2m 100m
NDR: Next DR – 100g per lane = 400G 4m
XDR: Extreme DR – 200G per lane = 800G

DAC: direct attach – copper cable
AOC: active optical cable: each line: 1xtx 1xrx – total 8 (more expensive than DAC). MultiMode (3-100m)

Responsabilities

establlish physical link, monitor status, inform link layer, guaranteeing signal integrity for best Bit Error Rate (BER)

status: polling (not cable connected), disabled, portConfigTraining, LinkUp, LinkError Recovery (cable is faulty)
# ibstat => show you status of hca

BER = number bit errors / total number bit transferred

Addressing

GUID: (like MAC) Globally Unique Id = 65 bit (assigned by vendor)

  • system GUID: abstract several GUID in one (like a cluster of devices)
  • Node GUID: HCA, switches or routers
  • Port GUID: HCA port.

HCA has: 1x System GUID, 1x Node GUID, 1x Port GUID per physical port –> # ibstat

Switch (Fixed): 1xASIC (1xNode GUID), 1xSystem GUID. It doesnt have Port GUID

Director (Modular) switch: 1xSystem GUID, each module has 1xNode GUI

OFED

# ibportstate -> state, speed, lanes, etc

# ibswitches -> list switches in the subnet and GUIDs

# ibhosts: list all HCAs in the subnet and GUIDs

# ibnodes: list both HCAs and switches in subnet.

4) Link Layer

switching inside local subnet

Link Layer Services

Packet Mgmt:
Link mgmt packets
data packets: send, read, write, ack
header= LRH 8B + GRH 40B + BTH 12B + ETH var
payload= 256-4096B
ICRC 4B + VCRC 2B

L2 Addressing
routing inside local subnet. Each node has LID (local ID) 2B inside LRH
LID assigned by Subet Manager when initilization and when topology changes.
HCAs: LID per port
Fix form switch: 1 LID
Modular switches: 1 LID per module
Each subnet max 48k unicast LID
16k multicast LID

QoS
enabled prioritization app/users/data flows.
Service Levels (SL) and Virtaul Lanes (VL)
SL is in LRH: defines class of packet
VL is in LRH: implements multiple logical flows over a single physical link
different packets are mapped to different VLs based on SL (marking)
each VL has a weight and priority
each VL uses different buffers
each VL has a scheduler
Max 16 VL:
special VL: VL15: Subnet Manager traffic only
VL0: all data traffic
VL1-14: free to use to implement your QoS policy

Packet Forwarding
LID is read by switch to route to destination, checking the LFT (Linear Forwarding Table: table of LDID -> Exit Port)
Implementing QoS: LFT contains SL to VL mappings
# ibswitches -> list of switches with LID
# ibroute –> shows LFT of switch with LID 10 // OutPort=000 means the packet is processed by switch.

Flow Control
Lossless Fabric. Flow Control: prevents fast sender to overwhelm slow receiver to avoid drops and retransmissions.
Credit based FC: receiver sends credit to sender to indicate availability of receive buffers. Sender waits for credits before transmissing.
packet are not held forever. There is timeout, if expires, packet is dropped.
Each VL can have a separate FC.

Data Integriy
by CRC: Cyclic Redundancy Check. Hash function. If calculation of CRC doesnt match, packet is dropped and request resend. end-to-end integrity
ICRC: invariant – all field that dont change 32bit
VCRC: variant – whole packet. 16bit

OFED

# iblinkinfo: all nodes in fabric: LID, GUID, hostname, link speeds

# ibnetdisconer: fabric discovery and list all ndoes: LID, GUID, hostnames and link speeds. Generates a file with topology

5) Network Layer

routing solution overview

connect different subnets (each max 48k nodes)

routing benefits:
-scaling
-isolation: separation, fault resilience, reliability, availability
-subnet management per each subnet
-connectivity: each subnet can have different topology

network layer overview

handles routing of packets between subnets using GID in GRH 40B (Global Routing Header)
unicast and multicast
GID: Global ID – 128 bit — identifies single port or multicast group: GID= 64bit subnet prefix + port GUID (kindoff ipv6)
globally unique across subnets

each HCA port has an automatic assigned default GID (fe80::) that can be used only in local subnet (kindoff ipv6 link-local)

OFED

# ibv_devices -> ib devices installed in server (hcas)
# ibaddr -> displays GID and LID

6) Transport Layer

overview

end-2-end communication services for apps – virtual channel. segment/reassembly
channel end-point are called Queue Paros (QPs): Each QP represents one end of a channel. QP bypass kernel during data transfer. HCA oversees reliability
QP has a send and receive queue. QP id is 24 bits. apps have direct access to hw: mapping app’s virtual address into the QP.
If an app required more than 1 connection -> more QPs are created
QP workflow: A work queue is the app’s interface to the IB fabric.
If app wants to send/receive data -> post a Work Request (WR) to a work queue (that is a WQE – WQ Element)
When the HCA completes a WQE, a completion queue element (CQE) is placed on a completion queue.

Responsibilities: Three below

segmentation/reassembly

segment when message bigger than MTU, done by HCA. HCA receiver side reassembles.
payload: 256-4096 bytes
default mtu = 4096

transport modes

QP has 4 transport service types. Source/Destination QPs must have same mode. Service type depends on app.
RC: reliable connection
UC: unreliable connection
RD: reliable datagram
UD: unreliable datagra

connected: dedicated QP for one connection in eachc end. Higher performance than datagra but more kernel memory consumed. Most used. Segmentation is supported
datagram: single QP servers multiple connections. Segmentation is not suppoerted. More scalable that connected (similar to multicast)
reliable: each packet has Packet Seq Num (PSN). Receiver send Acks if packet arrive in order, send negativa ack otherwise. Send QP has a timer. Similar to TCP.
unrelible: no ack.

partitions

divide large cluster into small isolated subclusters -> multitenancy, multi apps, security, qos.
ports maybe members of multiple partitions at once
port in different partitions are unaware of eachc other.

PKEY: partition id. 16bit in BTH header. Carried in packets and stored in HCA. Used to determine partition membership. The Subnet Manager SM assings the PKEY to the ports.

membership type: limited vs full
limited: can’t accept other limited membership in the partition. all nodes may communite with SM. Full<>Limited is always oke (with same PKEY) IE: storage, network mgmt.
default PKEY is 0x7fff. everything is part of that pkey and assigned by SM. And all are full.
65535

high-order bit (left most) in PKEY records the type membership: 0 = limited / 1= full -> 0x7fff = 111 1111 1111 1111

offloading

RDMA: remote direct memory access. data read/write to remote server bypassing CPU in both ends. zero buffer copy.
reduce latency, increase throughput, cpu freed up

two methos for offloading:
-channel semantic: send/receive. Sending app has no visibility on receivers buffer or data structure. Just send data. Syncronoues data flow
-memory semantic: rdma read/write
rdma write example
receivedr side, register a buffer in its memory space and pass it to the sender. Sender uses RDMA send/write. Async communication. sender sides does the same.
send side puts a WQE. its hca generates CQE. The receiver HCA puts the data directly in the memory, there is no WQE/CQE in receiver side.

ofed

perftest: read/write and send tests. client-server. cpu same in client and server.

latency perf test (-h)
 server        client
  ib_read_lat  ib_read_lat
  ib_write_lat ib_write_lat
  ib_send_lat  ib_send_lat

bw perf test (-h)
 server       client
  ib_read_bw  ib_read_bw
  ib_write_bw ib_write_bw
  ib_send_bw  ib_send_bw

7) Upper Layer

overview

support upper layer protocols (Native IB RDMA, IPoIB,etc).
mgmt svc protocls (Subnet mgmt and subnet services).
sw transport verbs to communicate with HCA/IB fabric (clients of upper layer)

upper layer protocols: MPI (for HPC), IPoIB (enables TCP/IP over IB), SDP (high perf interface for standar socket apps – TCP), SRP (SCSI devices over RDMA), iSER (zero copy RDMA to eliminate TCP and iSCSI bottleneck, better than SRP), NFS RDMA (NFS over RDMA)

management service protocols

-subnet mmgnt: Uses special mgmt datagram (MAD) class called SMP: subnet mgmt packet -> uses special QP0, always uses VL15 and not subject to flow control.
-general services: Used MAD called GMP: General mgmt Packet. Each port has a QP1 and all GMPs are received on QP1 are processed by one GSA (General Service Agent).
GMP uses any VL except 15 (default 0), subject to Flow Control

sw transport verbs

verb: describe actions how an app request acctions from the messaging svc.
ie RMDA send: rdma_post_send, rdma_post_recv
RDMA write: rdma_post_write
RDMA read: rdma_post_read
OpenFabrcAlliance: defines verbs specification.

— Fabric Mgmt —

8) Fabric Init

Init Stages

subnet has a common Subnet ID. Router connects subnets. Each subnet has SM (discovery topo, assign LIDs to nodes, calculate/program forwarding tables, manage all elements, monitor changes). SM can be a server, switch or special device. Each node has a SMA (SM Agent) that communicates with SM

1 Phy Fabric Establish: connect all cables

2 Subnet Discovery: Once SM wakes up, starts discovery with direcltly connected nodes, and then their neigbors. SM gathers switch info, port info and host info. SM uses SMPs (SM packets)

3 Info gathering: SMPs uses VL 15. Two types:
-Directed-routed: forwarded based on a vector of port numbers. Not dependent of routing table entries. Provide means to communicate before switches and hosts are configured (before LIDs are assigned). Mainly for discovery. Only SMI (SM interface) allows for these packets.
Two types of messages:
— get: SM polls fabric with get.
— get response: answer from devices.
Two types of commands:
— get node / port info:
— get response node / port info:
-LID-routed: forwards using switch forwarding table (after SM populates them)

topo info gather: switches, hcas, ports, links. Topo described by nodes GUID and port numbers.
node info gather: type, number ports, GUID, description
port info gather: MTU, VLs, width (num lanes), speed.

4 LIDs Assigment: SM assigns LDIS to nodes
HCA: 1 LID per port
1RU switches (1 ASIC): 1 LID for whole switch
Modular switch: 1 LID per module (linecard)

5 Paths Establishments
min-hop: calculate number of hops required by eachc port to reach each destination LID. Shortest is best. tie-breaker: port with fewer LIDs assigned.

6 Port Config
LID (unique in subnet), width (number of physical lines), MTU (default 4096), speed.
QoS: VLs, SL to VL (mapping table Service Level to VL), VL arbitration

7 Switch Config
SM populates the switch’s LFT with the best routes. LFT: destination LIDs -> exit port. And SL-VL table.

8 Subnet Activation
IB port: physical states: polling (after power on, cable not connected), training (establish link sync), linkup (ready to transfer packets)
logical states: down (phy is down: polling or training), init (phy is up but only deals with SMP and flow control), armed (verify data transfer fine. SM sends dummy SMP with VCRC to verify that is not corrupted), active (SM send active to port)

ofed

# ibswitches: GUID, description, ports and LID.
# ibroute <switch_LID>

9) Fabric monitoring

SM properties

election process master SM: recommended (2xSM, master , standby) Each has priority: 4 bit: default=0, highest=15. tie-breaker: lowest GUID
SMInfo attribure used by SM to exchange info during subnet discovery and polling: GUID of the port of SM, priority and SM state (master, standby)

SM failover / handover

SM Failover: Master SM fails. Running sessions are not affected. New sessions need to wait for new master. By default, LIDs are not reassinged by new master.
SM Handover: new SM with hight priority takes over master role.
-avoid double failover: 1) avoid handover. 2) master_sm_priority=15 for all SM (and hight than current priority)

Monitoring

light sweep: each 10s. SM interrogates nodes and port info from all switches: Port status changes, new SM appears, standby SM changes priority
A change traced by light sweep, causes heavy sweep.

heavy sweep: light sweep detects change or SM receives IB trap. -> SM triggres fabric discovery from scratch: topo discovery, new LIDs (if necessary), program fw tables!.
current flows through not affected path, are not affected by rediscovery.

host down or leaf switch down -> avoid heavy sweep (not need to recalculate all fw tables in nodes) -> SM configuration: Ucast-cache=True

ofed

# sminfo -> master SM: LID, GUID, priority and state
# smpquery nd -> identify whitch node is running the SM
# saquery -s -> query all SMs (master and standby)

10) IB topologies part1

concepts

network topology: schematic arrangement of network elements: links, nodes
phy topology: how devices are connected
logical topo: how data moves from one node to another
considerations;

  • availability: redundancy and fault tolerance
  • reliability: downtime and delays are unacceptable
  • performance: locate faults, troubleshoot errors, allocate resources
  • future growth: add new nodes without affecting performance or user experience
  • budget: effective and affordable

leaf-spine.

  • predictable and deterministic latency
  • scalability
  • redundancy
  • increase bw

topologies:

fat-tree

tree like topology where links nearer the top of the hierarchy are “fatter” = having more links/bw, than links further down. thickness = bandwidth
It is about oversubscription ratio: downlinks / uplinks => 1:1 (non-blocking)

non-blocking: oversubscription 1;1 in all levels, higher cost. (real fat-tree are often oversubscribed)
blocking: oversubscription 2:1,3:1,3:2, reduced cost, not full bw, low latency is maintained.

summary: good for hpc, non-blocking or oversubscription, lowest/deterministic latency (2levels->3hops, 3levels->5hops)

dragonfly+ (BGP confederation)

connect groups in full-mesh, inside group leaf-spine. requires adaptive routing.

summary: support large number hosts, extending fabric without reserving ports (fat-tree requires recabling), lowlat and high bw: flexible and cost reduction

torus 3d

nodes connected in a ring formation in 3D (x,y,z)
eachc node has 2 links in each ring (3rings=3D)=6 links to neighbor switches
very scalable and resilient:

summary: good for locality, cabling simpler/shorted (less cost: effective, power, resilient), main benefit: cost -> good for very large installs. Hight fault tolerant.

adaptive routing (AR)

load balancing between same best cost paths (min-hop) and installs in FIB.
For every connection the switch will dynamically choose the least congested port. Reduces contention.

credit loops

IB uses credit-based flow-control to avoid packet loss in congested switches: a sending port can send packets if it is granted with credits from receiving port
credit loop: cyclic buffer dependency (buffers are full) (some cases you have to reboot a switch to fix!) They can create a deadlock (rarely)
avoid credit loops: UpDown routing algo: prevents traffic forwarding from downstream link to an upstream. Forbidden: down -> ups
allowed paths: up, down, up -> down, same level (up-up, down-down)

10) IB topologies part2

routing engines: way paths are choosing = routing protocol. Each RE uses its own algo according to topology

min-hop: topo agnostic. default algo. 2 stages: 1) compute min-hop table on each switch 2) LFT output port assigment in eachc switch.
doesnt prevent credit loops.

up-down (+AR): fat-tree topo
prevent deadlocks (min-hop can’t)
algo: 1) starts with root switches (rank 0). 2) Find all switches 1 hop away fro root -> rank 1 3) Switches 2 hops away from root -> rank 2 4) so on 5) Find shortest path between every pair of endpointns 6) Any path that goes down (away from root) and then up (toward root) is discarded => rank N -> rank N+1 (up) -> rank N (down)
avoid credit loops: forbidden paths go down (away from root) and then up (towards root)

fat-tree (+AR): fat-tree topo. fully-symmetrical fat-tree has its leaf switches connected with the same port index to each spine. Avoid credit loop like UpDown algo (forbidden paths down-up). Can do load-balancing to avoid congestion

torus 2-QoS: torus-2/3d topo. Free of credit loops, two levels of QoS. Self-heal (single failed switch, and/or multiple failed links) -> rerouting automatic by SM. Short run time, good scaling

dragonfly+ AR: dragonfly topo. Achieving max bw for different traffic patterns requires non-min multi-path routing => use min-hop+1 routes. You use min-hop+1 based egress queue load (so you avoid congestion just following a longer path) Trinagule example.
Credit loops prevention:
-path with down->up can potentially cause a credit loop.
-credit-based flow-control operates per VL: Buffers are allocated per VL. Received credits are granted per virtual lanes.
-DragonFly+ uses VL increment to avoid credit loops: The VL value is incremented when packet is forwarded from down->.up direction. 2 VLs are enough to prevent credit loops.

  • drangonfly connects “groups”

configure updn routing engine
/etc/opensm/opensm.conf -> default location – SM params
opensm -c /etc/opensm/opensm.conf -> creates default SM config.
For UpDown: provide the roots GUID list -> # ibswitches -> create list in /etc/opensm/root_guid.conf -> update opensm.conf with:
root_guid_file /etc/opensm/root_guid.conf
Update opensm.conf with routeing engine: routing_engine updn // or use # opensm -R updn
restart opensm: # service opensmd restart
check logs: grep table /var/log/opensm.log

— IB fabric bring up —

11) IB driver installation


what is OFED?: OpenFabric Enterprise Distribution: opens source sw for RDMA and kernel-bypass apps.
nvidia-ofed: supports IB and ethernet. up to 400G. linux/windows/VMs.

install ofed linux:
hw requirements: 1GB space, supported linux, admin priv
prepare install: ofed_info -s (current version). For new install: kernel + os -> uname -a / cat /etc/os-release
hca installed: lspci -v | grep -i mellanox
download driver from nvidia site.
mount image, install : # mount -o ro,loop MLNX_OFED_FILE.iso /mnt
cd /mnt && sudo ./mlnxofedinstall
restart: # /etc/init.d/openibd restart
verify: ofed_info | head -1 –> verify new version installed
ibstart –> verify HCA is discovered as IB node

12) HCA firmware upgrade

hca hw and tools overview: host-channel-adapter. If you install ofed, upgrade hca too. You can upgrade hca itself.
MTF tools: MST: NVIDIA software tools serice. Flint: firmware burning tool. MLXfwreset: loading firmware on 5th gen devices tool

firmware upgrade steps:
hca type: lspci | grep -i mellanox
hca info: ibv_devinfo -> hca_id, fw_ver, vendor_part, board_id (PSID)
download firmware: seach card type and then check every OPN option until you find a PSID that matches board_id (above command)
unzip + burn:
1) find hca full path: # mst status (or start it: mst start)-> search for /dev/mst/….
2) # flint -d /dev/mst/xxxxxx -i FIRMWARE.bin b /// b = burn !!!
reset: # mlxfwreset -d CARD reset
$ ibstat -> compare fw version changed

13) Running the SM

SM on a server, switch or NVIDIA UFM. Considere fabric scale (number of nodes): Init fabric, calculate fw tables, conf nodes and monitor changes. Licensing cost. enhanced features

switch: inband or outband mgmt: mgmt in-band by SM, MLNX-OS has embedded SM. Unmanaged dont have SM.
SM for small fabrics (up 2048 nodes). Not support AR and dragonfly. No additional license.
enable sm:

enable
# conf t
# show ib sm
disable
# ib sm
# show ib sm
enable
configure sm:
# ib sm sm-priority 14
# show ib sm sm-priority
# ib sm ? ==> options
# ip sm routing-engine ? => change routing engine from min-hop (default)!

server: large-medium fabrics. open-sm included in mlnx-ofed. no license. support AR and dragonfly
run opensm
# opensm -h
or run as a demon
# /etc/init.d/opensmd start
/etc/init.d/opensmd status
logging: /var/log/messages (general) + /var/log/opensm.log (details errors)
config: opensm -c /etc/opensm/opensm.conf -> creates default config file
routing engine config, list, tries one by one until success: routing_engine ar_updn (nov 2021 default RE is updn with AR)

UFM (Unified Fabric Manager): WebUI solution: telemetry, analytics, etc. Uses OpenSM. Can run on a server as a service, docker or dedicated hw.
telemetry, enterprise (telemetry + enhanced monitoring and mgmt), cyber-ai (telmetry + enterprise + security)
enterprise: licensed per managed device. WebUI: settings -> subnet manager, setting -> network management: routing engine

— IB monitoring —

14) IB diagnostics

node-level
ofed_info: mlnx_ofed driver version
lspci: find hca
ibstat: link status
ibportstate LID PORT
ibroute LID: routing table of switch LID
ibv_devices: list hcas
ibv_devinfo: list hcas details

fabric-level:
ibswitches: list switches
ibhosts: list hcas
ibnodes: list all nodes
ibnetdiscover: show node-to-node connectivity
iblinkinfo: list all nodes and connectivity info
sminfo: show master sm
ipbing
ibtracert SLID DLID
ibdiagnet
ib_write_lat
ib_read_lat
ib_write_bw
ib_read_bw

ibdiagnet: fabric disconery, error detection and diagnostics. part of ibutils2 package. part of mlnx_ofed and ufm.
fabric discovery, duplicated GUIDs, duplicated nodes descriptions, LIDs checks, links in INIT state, counters, error counters check, routing checks, link width and speed checks, topology matching, partition checks and BER test.

dump files: ibdiagnet2.log, .lst, .net_dump, .sm, .pm, .fdbs, .pkey
default location: /var/tmp/ibdiagnet2/*

ibdiagnet -v -h
ibdiagnet (without params) does a lot of stuff
–i mlx5_2 –p 1 (card and port in card)

ibdiagnet -pc => reset all port counters
ibdiagnet –pm_pause_time SEC => port counters delta validation
ibdiagnet -w FILE -> creates a topology file

ibdiagnet2.pm (port counter) port_xmit_wait: waiting time of packet in the send buffer: high values -> bad!

15) Wireshark

ibdump -d mlx5_0 (device_name) -w FILE.pcap

The Man in the High Castle

I read this book because there was a TV series and I started to see it in the bookshops in the airport. I knew a bit about the plot so I decided to buy it. I didnt know Blade Runner (haven’t seen it but I know it is famous, at least Indiano Jones worked there) was based on one of the author books.

The book is just ok, the idea it is interesting. Most of the book is quite slow, then there is a bit of drama and action, but then it ends.